Yao Ma - RankMe

127 papers A* 34A 14B 3Journal 67Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Knowledge Homophily in Large Language Models. WSDM Utkarsh Sahu, Zhisheng Qi, Mahantesh Halappanavar, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Yu Zhang, Yao Ma, Yu Wang
2026	A	`conf`	Planning Before Retrieval: A Constrained Planner-Executor Framework for Reliable and Efficient KG-Augmented Reasoning. WSDM Liangliang Zhang, Yao Ma
2026	—	`conf`	SaVe-TAG: LLM-based Interpolation for Long-Tailed Text-Attributed Graphs. KDD (1) Leyao Wang, Yu Wang, Bo Ni, Yuying Zhao, Hanyu Wang, Yao Ma, Tyler Derr
2025	J	`jnl`	A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness. ACM Trans. Intell. Syst. Technol. Fali Wang, Zhiwei Zhang, Xianren Zhang, Zongyu Wu, Tzuhao Mo, Qiuhao Lu, Wanjing Wang, Rui Li, Junjie Xu, Xianfeng Tang, Qi He, Yao Ma, Ming Huang, Suhang Wang
2025	J	`jnl`	A Graph Perspective to Probe Structural Patterns of Knowledge in Large Language Models. CoRR Utkarsh Sahu, Zhisheng Qi, Yongjia Lei, Ryan A. Rossi, Franck Dernoncourt, Nesreen K. Ahmed, Mahantesh M. Halappanavar, Yao Ma, Yu Wang
2025	—	`conf`	A Survey on Small Language Models in the Era of Large Language Models: Architecture, Capabilities, and Trustworthiness. KDD (2) Fali Wang, Minhua Lin, Yao Ma, Hui Liu, Qi He, Xianfeng Tang, Jiliang Tang, Jian Pei, Suhang Wang
2025	—	`conf`	A Survey to Recent Progress Towards Understanding In-Context Learning. NAACL (Findings) Haitao Mao, Guangliang Liu, Yao Ma, Rongrong Wang, Kristen Marie Johnson, Jiliang Tang
2025	A*	`conf`	CryptGNN: Enabling Secure Inference for Graph Neural Networks. CCS Pritam Sen, Yao Ma, Cristian Borcea
2025	J	`jnl`	Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking. CoRR Liangliang Zhang, Zhuorui Jiang, Hongliang Chi, Haoyang Chen, Mohammed Elkoumy, Fali Wang, Qiong Wu, Zhengyi Zhou, Shirui Pan, Suhang Wang, Yao Ma
2025	J	`jnl`	Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation. CoRR Yuxiang Wang, Xinnan Dai, Wenqi Fan, Yao Ma
2025	J	`jnl`	Extending Graph Condensation to Multi-Label Datasets: A Benchmark Study. Trans. Mach. Learn. Res. Liangliang Zhang, Haoran Bao, Yao Ma
2025	J	`jnl`	Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. Yuanchen Bei, Sheng Zhou, Jinke Shi, Yao Ma, Haishuai Wang, Jiajun Bu
2025	J	`jnl`	Knowledge Homophily in Large Language Models. CoRR Utkarsh Sahu, Zhisheng Qi, Mahantesh Halappanavar, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Yu Zhang, Yao Ma, Yu Wang
2025	J	`jnl`	Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey. ACM Trans. Knowl. Discov. Data Hongjia Xu, Liangliang Zhang, Yao Ma, Sheng Zhou, Zhuonan Zheng, Jiajun Bu
2025	J	`jnl`	Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. SIGKDD Explor. Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma
2025	A*	`conf`	Precedence-Constrained Winter Value for Effective Graph Data Valuation. ICLR Hongliang Chi, Wei Jin, Charu C. Aggarwal, Yao Ma
2025	A*	`conf`	Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation. ICLR Hongliang Chi, Qiong Wu, Zhengyi Zhou, Yao Ma
2025	J	`jnl`	Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation. CoRR Hongliang Chi, Qiong Wu, Zhengyi Zhou, Yao Ma
2025	J	`jnl`	Towards Graph Foundation Models: A Transferability Perspective. CoRR Yuxiang Wang, Wenqi Fan, Suhang Wang, Yao Ma
2025	J	`jnl`	Unifying and Optimizing Data Values for Selection via Sequential-Decision-Making. CoRR Hongliang Chi, Qiong Wu, Zhengyi Zhou, Jonathan Light, Emily Dodwell, Yao Ma
2024	J	`jnl`	A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness. CoRR Fali Wang, Zhiwei Zhang, Xianren Zhang, Zongyu Wu, Tzuhao Mo, Qiuhao Lu, Wanjing Wang, Rui Li, Junjie Xu, Xianfeng Tang, Qi He, Yao Ma, Ming Huang, Suhang Wang
2024	J	`jnl`	A Data Generation Perspective to the Mechanism of In-Context Learning. CoRR Haitao Mao, Guangliang Liu, Yao Ma, Rongrong Wang, Jiliang Tang
2024	J	`jnl`	A Survey on Graph Condensation. CoRR Hongjia Xu, Liangliang Zhang, Yao Ma, Sheng Zhou, Zhuonan Zheng, Jiajun Bu
2024	J	`jnl`	A Survey on Safe Multi-Modal Learning System. CoRR Tianyi Zhao, Liangliang Zhang, Yao Ma, Lu Cheng
2024	A*	`conf`	A Survey on Safe Multi-Modal Learning Systems. KDD Tianyi Zhao, Liangliang Zhang, Yao Ma, Lu Cheng
2024	A	`conf`	Active Learning for Graphs with Noisy Structures. SDM Hongliang Chi, Cong Qi, Suhang Wang, Yao Ma
2024	J	`jnl`	Active Learning for Graphs with Noisy Structures. CoRR Hongliang Chi, Cong Qi, Suhang Wang, Yao Ma
2024	A*	`conf`	Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark. KDD Xiaowei Qian, Zhimeng Guo, Jialiang Li, Haitao Mao, Bingheng Li, Suhang Wang, Yao Ma
2024	J	`jnl`	Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark. CoRR Xiaowei Qian, Zhimeng Guo, Jialiang Li, Haitao Mao, Bingheng Li, Suhang Wang, Yao Ma
2024	—	`conf`	DCAI: Data-centric Artificial Intelligence. WWW (Companion Volume) Wei Jin, Haohan Wang, Daochen Zha, Qiaoyu Tan, Yao Ma, Sharon Li, Su-In Lee
2024	—	`conf`	Deciphering Crypto Twitter. WebSci Inwon Kang, Maruf Ahmed Mridul, Abraham Sanders, Yao Ma, Thilanka Munasinghe, Aparna Gupta, Oshani Seneviratne
2024	J	`jnl`	Deciphering Crypto Twitter. CoRR Inwon Kang, Maruf Ahmed Mridul, Abraham Sanders, Yao Ma, Thilanka Munasinghe, Aparna Gupta, Oshani Seneviratne
2024	—	`conf`	Do Neural Scaling Laws Exist on Graph Self-Supervised Learning? LoG Qian Ma, Haitao Mao, Jingzhe Liu, Zhehua Zhang, Chunlin Feng, Yu Song, Yihan Shao, Yao Ma
2024	J	`jnl`	Do Neural Scaling Laws Exist on Graph Self-Supervised Learning? CoRR Qian Ma, Haitao Mao, Jingzhe Liu, Zhehua Zhang, Chunlin Feng, Yu Song, Yihan Shao, Yao Ma
2024	A*	`conf`	Enhancing Contrastive Learning on Graphs with Node Similarity. KDD Hongliang Chi, Yao Ma
2024	J	`jnl`	Extending Graph Condensation to Multi-Label Datasets: A Benchmark Study. CoRR Liangliang Zhang, Haoran Bao, Yao Ma
2024	A*	`conf`	Fast Graph Condensation with Structure-based Neural Tangent Kernel. WWW Lin Wang, Wenqi Fan, Jiatong Li, Yao Ma, Qing Li
2024	J	`jnl`	Graph Foundation Models. CoRR Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
2024	J	`jnl`	Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection. CoRR Yuanchen Bei, Sheng Zhou, Jinke Shi, Yao Ma, Haishuai Wang, Jiajun Bu
2024	A*	`conf`	LPFormer: An Adaptive Graph Transformer for Link Prediction. KDD Harry Shomer, Yao Ma, Haitao Mao, Juanhui Li, Bo Wu, Jiliang Tang
2024	A*	`conf`	Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection. SP Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan, Yao Ma
2024	J	`jnl`	Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. CoRR Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma
2024	A*	`conf`	PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming. ICML Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Haitao Mao, Qian Chen, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun
2024	J	`jnl`	PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming. CoRR Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Qian Chen, Haitao Mao, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun
2024	A*	`conf`	Position: Graph Foundation Models Are Already Here. ICML Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
2024	J	`jnl`	Precedence-Constrained Winter Value for Effective Graph Data Valuation. CoRR Hongliang Chi, Wei Jin, Charu Aggarwal, Yao Ma
2024	A*	`conf`	Revisiting Link Prediction: a data perspective. ICLR Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
2024	J	`jnl`	Revisiting the Message Passing in Heterophilous Graph Neural Networks. CoRR Zhuonan Zheng, Yuanchen Bei, Sheng Zhou, Yao Ma, Ming Gu, Hongjia Xu, Chengyu Lai, Jiawei Chen, Jiajun Bu
2024	A	`conf`	The 5th International Workshop on Machine Learning on Graphs (MLoG). WSDM Tyler Derr, Yao Ma, Kaize Ding, Tong Zhao, Nesreen K. Ahmed
2023	J	`jnl`	Adaptive Pairwise Encodings for Link Prediction. CoRR Harry Shomer, Yao Ma, Haitao Mao, Juanhui Li, Bo Wu, Jiliang Tang
2023	J	`jnl`	Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles. IEEE Trans. Knowl. Data Eng. Wenqi Fan, Xiangyu Zhao, Qing Li, Tyler Derr, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang
2023	—	`conf`	Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? ACL (1) Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
2023	J	`jnl`	Customized Graph Nerual Networks. IEEE Data Eng. Bull. Yiqi Wang, Yao Ma, Wei Jin, Chaozhuo Li, Charu Aggarwal, Jiliang Tang
2023	A*	`conf`	Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? NeurIPS Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
2023	J	`jnl`	Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? CoRR Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
2023	A*	`conf`	Distance-Based Propagation for Efficient Knowledge Graph Reasoning. EMNLP Harry Shomer, Yao Ma, Juanhui Li, Bo Wu, Charu C. Aggarwal, Jiliang Tang
2023	J	`jnl`	Distance-Based Propagation for Efficient Knowledge Graph Reasoning. CoRR Harry Shomer, Yao Ma, Juanhui Li, Bo Wu, Charu C. Aggarwal, Jiliang Tang
2023	A*	`conf`	Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. NeurIPS Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
2023	J	`jnl`	Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. CoRR Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
2023	J	`jnl`	Fast Graph Condensation with Structure-based Neural Tangent Kernel. CoRR Lin Wang, Wenqi Fan, Jiatong Li, Yao Ma, Qing Li
2023	A*	`conf`	Graph Enhanced BERT for Query Understanding. SIGIR Juanhui Li, Wei Zeng, Suqi Cheng, Yao Ma, Jiliang Tang, Shuaiqiang Wang, Dawei Yin
2023	J	`jnl`	Improving Fairness of Graph Neural Networks: A Graph Counterfactual Perspective. CoRR Zhimeng Guo, Jialiang Li, Teng Xiao, Yao Ma, Suhang Wang
2023	B	`conf`	Learning Representations for Hyper-Relational Knowledge Graphs. ASONAM Harry Shomer, Wei Jin, Juanhui Li, Yao Ma, Hui Liu
2023	J	`jnl`	Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection. CoRR Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan, Yao Ma
2023	J	`jnl`	Revisiting Link Prediction: A Data Perspective. CoRR Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
2023	A	`conf`	The 3rd International Workshop on Machine Learning on Graphs (MLoG). WSDM Tyler Derr, Yao Ma, Benedek Rozemberczki, Neil Shah, Shirui Pan
2023	A	`conf`	Towards Fair Graph Neural Networks via Graph Counterfactual. CIKM Zhimeng Guo, Jialiang Li, Teng Xiao, Yao Ma, Suhang Wang
2022	J	`jnl`	A Graph Neural Network Framework for Social Recommendations. IEEE Trans. Knowl. Data Eng. Wenqi Fan, Yao Ma, Qing Li, Jianping Wang, Guoyong Cai, Jiliang Tang, Dawei Yin
2022	J	`jnl`	Are Graph Neural Networks Really Helpful for Knowledge Graph Completion? CoRR Juan-Hui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
2022	A*	`conf`	Automated Self-Supervised Learning for Graphs. ICLR Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
2022	J	`jnl`	Enhancing Graph Contrastive Learning with Node Similarity. CoRR Hongliang Chi, Yao Ma
2022	A*	`conf`	Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective. KDD Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang
2022	J	`jnl`	Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective. CoRR Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang
2022	J	`jnl`	Graph Enhanced BERT for Query Understanding. CoRR Juan-Hui Li, Yao Ma, Wei Zeng, Suqi Cheng, Jiliang Tang, Shuaiqiang Wang, Dawei Yin
2022	B	`conf`	Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks. IEEE Big Data Khang Tran, Phung Lai, NhatHai Phan, Issa Khalil, Yao Ma, Abdallah Khreishah, My T. Thai, Xintao Wu
2022	J	`jnl`	Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks. CoRR Khang Tran, Phung Lai, NhatHai Phan, Issa Khalil, Yao Ma, Abdallah Khreishah, My Tra Thai, Xintao Wu
2022	A*	`conf`	Is Homophily a Necessity for Graph Neural Networks? ICLR Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang
2022	J	`jnl`	Learning Representations for Hyper-Relational Knowledge Graphs. CoRR Harry Shomer, Wei Jin, Juan-Hui Li, Yao Ma, Jiliang Tang
2022	J	`jnl`	Negative samples selecting strategy for graph contrastive learning. Inf. Sci. Rui Miao, Yintao Yang, Yao Ma, Xin Juan, Haotian Xue, Jiliang Tang, Ying Wang, Xin Wang
2022	—	`conf`	SGKD: A Scalable and Effective Knowledge Distillation Framework for Graph Representation Learning. ICDM (Workshops) Yufei He, Yao Ma
2021	A	`conf`	A Unified View on Graph Neural Networks as Graph Signal Denoising. CIKM Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
2021	A*	`conf`	Attacking Black-box Recommendations via Copying Cross-domain User Profiles. ICDE Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li
2021	J	`jnl`	Automated Self-Supervised Learning for Graphs. CoRR Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
2021	A*	`conf`	Elastic Graph Neural Networks. ICML Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
2021	J	`jnl`	Elastic Graph Neural Networks. CoRR Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
2021	A*	`conf`	Graph Adversarial Attack via Rewiring. KDD Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang
2021	A	`conf`	Graph Feature Gating Networks. CIKM Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang
2021	J	`jnl`	Graph Feature Gating Networks. CoRR Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang
2021	A*	`conf`	Graph Neural Networks with Adaptive Residual. NeurIPS Xiaorui Liu, Jiayuan Ding, Wei Jin, Han Xu, Yao Ma, Zitao Liu, Jiliang Tang
2021	A*	`conf`	Graph Representation Learning: Foundations, Methods, Applications and Systems. KDD Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu
2021	J	`jnl`	Is Homophily a Necessity for Graph Neural Networks? CoRR Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang
2021	A	`conf`	Node Similarity Preserving Graph Convolutional Networks. WSDM Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang
2020	J	`jnl`	A Unified View on Graph Neural Networks as Graph Signal Denoising. CoRR Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
2020	J	`jnl`	Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. Int. J. Autom. Comput. Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain
2020	J	`jnl`	Attacking Black-box Recommendations via Copying Cross-domain User Profiles. CoRR Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li
2020	A	`conf`	Deep Adversarial Canonical Correlation Analysis. SDM Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang
2020	A*	`conf`	Deep Graph Learning: Foundations, Advances and Applications. KDD Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma
2020	A	`conf`	Epidemic Graph Convolutional Network. WSDM Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang
2020	A*	`conf`	Graph Pooling with Representativeness. ICDM Juan-Hui Li, Yao Ma, Yiqi Wang, Charu C. Aggarwal, Chang-Dong Wang, Jiliang Tang
2020	A*	`conf`	Graph Structure Learning for Robust Graph Neural Networks. KDD Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang
2020	J	`jnl`	Graph Structure Learning for Robust Graph Neural Networks. CoRR Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang
2020	A*	`conf`	Learning from Incomplete Labeled Data via Adversarial Data Generation. ICDM Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang
2020	J	`jnl`	Node Similarity Preserving Graph Convolutional Networks. CoRR Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang
2020	J	`jnl`	Non-IID Graph Neural Networks. CoRR Yiqi Wang, Yao Ma, Charu C. Aggarwal, Jiliang Tang
2020	A*	`conf`	Streaming Graph Neural Networks. SIGIR Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang, Dawei Yin
2020	A*	`conf`	Traffic Flow Prediction via Spatial Temporal Graph Neural Network. WWW Xiaoyang Wang, Yao Ma, Yiqi Wang, Wei Jin, Xin Wang, Jiliang Tang, Caiyan Jia, Jian Yu
2019	J	`jnl`	Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. CoRR Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain
2019	J	`jnl`	Attacking Graph Convolutional Networks via Rewiring. CoRR Yao Ma, Suhang Wang, Lingfei Wu, Jiliang Tang
2019	A*	`conf`	Deep Adversarial Social Recommendation. IJCAI Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li
2019	J	`jnl`	Deep Adversarial Social Recommendation. CoRR Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li
2019	J	`jnl`	Deep Social Collaborative Filtering. CoRR Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li
2019	A	`conf`	Deep social collaborative filtering. RecSys Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li
2019	A*	`conf`	Graph Convolutional Networks with EigenPooling. KDD Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang
2019	J	`jnl`	Graph Convolutional Networks with EigenPooling. CoRR Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang
2019	A*	`conf`	Graph Neural Networks for Social Recommendation. WWW Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin
2019	J	`jnl`	Graph Neural Networks for Social Recommendation. CoRR Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin
2019	A	`conf`	Multi-dimensional Graph Convolutional Networks. SDM Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang
2019	J	`jnl`	R-Transformer: Recurrent Neural Network Enhanced Transformer. CoRR Zhiwei Wang, Yao Ma, Zitao Liu, Jiliang Tang
2018	J	`jnl`	Dynamic Graph Neural Networks. CoRR Yao Ma, Ziyi Guo, Zhaochun Ren, Yihong Eric Zhao, Jiliang Tang, Dawei Yin
2018	J	`jnl`	Linked Recurrent Neural Networks. CoRR Zhiwei Wang, Yao Ma, Dawei Yin, Jiliang Tang
2018	B	`conf`	Local and Global Information Preserved Network Embedding. ASONAM Yao Ma, Suhang Wang, Jiliang Tang
2018	A	`conf`	Multi-Dimensional Network Embedding with Hierarchical Structure. WSDM Yao Ma, Zhaochun Ren, Ziheng Jiang, Jiliang Tang, Dawei Yin
2018	J	`jnl`	Multi-dimensional Graph Convolutional Networks. CoRR Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang
2018	J	`jnl`	Signed Graph Convolutional Network. CoRR Tyler Derr, Yao Ma, Jiliang Tang
2018	A*	`conf`	Signed Graph Convolutional Networks. ICDM Tyler Derr, Yao Ma, Jiliang Tang
2017	—	`conf`	Network Embedding with Centrality Information. ICDM Workshops Yao Ma, Suhang Wang, Jiliang Tang
2017	J	`jnl`	Preserving Local and Global Information for Network Embedding. CoRR Yao Ma, Suhang Wang, Zhaochun Ren, Dawei Yin, Jiliang Tang